Research on the Influencing Factors of Cookware Buy Online Based on the Consumer Lifestyles

2014 ◽  
Vol 905 ◽  
pp. 773-776
Author(s):  
Chun Fu Lu ◽  
Yi Ping Jiang ◽  
Jian Feng Wu
Keyword(s):  
Influencing Factors ◽  
Online Shopping ◽  
Online Consumers ◽  
Online Consumer ◽  
Main Factors ◽  
Consumer Lifestyles ◽  
Design Factors

With the increasing development of online shopping, enterprises pay more attention to e-commerce. This study, from the perspective of online consumer lifestyle, we established online consumer lifestyle models, clustered online consumers into 4 groups called reasonable savers, traditional life group, brand- guided group and free casual group. From the results, we know that different factors have the different degrees of the influence on different consumer groups. The main factors that impact consumers most is reputation factors, followed by marketing factors, and design factors.

Online Shopping Experience

2004 ◽  
pp. 15-44 ◽  
Author(s):  
Yi M. Guo
Keyword(s):  
Influencing Factors ◽  
Web Sites ◽  
Online Shopping ◽  
Individual Characteristics ◽  
Consumer Experience ◽  
Preliminary Results ◽  
Factors Influencing ◽  
Shopping Experience ◽  
Research Questions ◽  
Online Consumer

In this chapter, a model of online shopping experience is proposed to unify previous works of online consumer experience. Online shopping experience (OSE) is the interaction between shoppers and commercial web sites. It consists of physical, cognitive, and affective activities, and in-progress responses. Factors influencing shopping experience include individual characteristics of shoppers, characteristics of stores and commercial web sites, characteristics of products and shopping task, and other contextual factors. The outcomes of shopping experience have been studied in many ways. Based on this model, series of research questions can be asked to examine relationships between components of shopping experience and influencing factors, and between shopping experience and shopping outcomes. Preliminary results of a study are reported to illustrate the usefulness of the concept of online shopping experience.

A Contigency Theory for Online Customer Retention

2011 ◽  
pp. 39-55
Author(s):  
Mohamed Khalifa ◽  
Moez Limayem ◽  
Vanessa Liu
Keyword(s):  
Electronic Commerce ◽  
Online Shopping ◽  
Customer Retention ◽  
Marketing Strategies ◽  
Factors Affecting ◽  
Is Research ◽  
Specific Factors ◽  
Online Consumer ◽  
Main Factors ◽  
B2c Electronic Commerce

Customer retention, or repurchase, is one of the main factors that help to create and maintain the competitiveness and sustainability of an organization. With the proliferation of B2C electronic commerce, retention has become even more important to Internet merchants who sell online, where customers are provided with a wide variety of choices and competition is globally severe. As opposed to pageviews and click through ratios, repurchase provides a more revealing metric of the effectiveness of websites. It is therefore important to explain and identify the determinants of online customer retention. Previous IS research on online shopping mainly focused on adoption and usage issues. Very few studies, however, examined whether customers made repurchases after they were attracted to and satisfied with the buying experience and product. In this study, we develop, operationalize and empirically test a model that explains online consumer retention as measured by repurchase. Our findings demonstrated that the direct effect of satisfaction on repurchase is positively moderated by online shopping habit. This research also highlights and identifies specific factors affecting customer retention that should help practitioners in formulating the appropriate marketing strategies.

A Contigency Theory for Online Customer Retention

2011 ◽  
pp. 1837-1852
Author(s):  
Mohamed Khalifa ◽  
Moez Limayem ◽  
Vanessa Liu
Keyword(s):  
Electronic Commerce ◽  
Online Shopping ◽  
Customer Retention ◽  
Marketing Strategies ◽  
Factors Affecting ◽  
Is Research ◽  
Specific Factors ◽  
Online Consumer ◽  
Main Factors ◽  
B2c Electronic Commerce

Customer retention, or repurchase, is one of the main factors that help to create and maintain the competitiveness and sustainability of an organization. With the proliferation of B2C electronic commerce, retention has become even more important to Internet merchants who sell online, where customers are provided with a wide variety of choices and competition is globally severe. As opposed to pageviews and click through ratios, repurchase provides a more revealing metric of the effectiveness of websites. It is therefore important to explain and identify the determinants of online customer retention. Previous IS research on online shopping mainly focused on adoption and usage issues. Very few studies, however, examined whether customers made repurchases after they were attracted to and satisfied with the buying experience and product. In this study, we develop, operationalize and empirically test a model that explains online consumer retention as measured by repurchase. Our findings demonstrated that the direct effect of satisfaction on repurchase is positively moderated by online shopping habit. This research also highlights and identifies specific factors affecting customer retention that should help practitioners in formulating the appropriate marketing strategies.

scholarly journals The role of serum β-trophin and endostatin in patients with polycystic ovary syndrome: Are they correlated?

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Wei Gong ◽  
Aikmu Bilixzi ◽  
Xinmei Wang ◽  
Yanli Lu ◽  
Li Wan ◽  
...  
Keyword(s):  
Polycystic Ovary Syndrome ◽  
Influencing Factors ◽  
Polycystic Ovary ◽  
Pearson Correlation ◽  
Healthy Controls ◽  
Newly Diagnosed ◽  
Ovary Syndrome ◽  
Factors Affecting ◽  
Main Factors

Abstract Background It’s necessary to investigate the serum β-trophin and endostatin (ES) level and its influencing factors in patients with newly diagnosed polycystic ovary syndrome (PCOS). Methods Newly diagnosed PCOS patients treated in our hospital were selected, and healthy women who took physical examination during the same period as healthy controls. We detected and compared the related serum indicators between two groups, Pearson correlation were conducted to identify the factors associated with β-trophin and ES, and the influencing factors of β-trophin and ES were analyzed by logistic regression. Results A total of 62 PCOS patients and 65 healthy controls were included. The BMI, WHI, LH, FSH, TT, FAI, FBG, FINS, HOMA-IR, TC, TG, LDL, ES in PCOS patients were significantly higher than that of healthy controls, while the SHBG and HDL in PCOS patients were significantly lower than that of healthy controls (all p < 0.05). β-trophin was closely associated with BMI (r = 0.427), WHR (r = 0.504), FBG (r = 0.385), TG (r = 0.405) and LDL (r = 0.302, all p < 0.05), and ES was closely associated with BMI (r = 0.358), WHR (r = 0.421), FBG (r = 0.343), TC (r = 0.319), TG (r = 0.404, all p < 0.05). TG, BMI, WHR and FBG were the main factors affecting the serum β-trophin levels (all p < 0.05). FBG, TC and BMI were the main factors affecting the serum ES levels (all p < 0.05). The TG, β-trophin, ES level in PCOS patients with insulin resistance (IR) were significantly higher than that of those without IR (all p < 0.05). Conclusion Increased β-trophin is closely associated with increased ES in patients with PCOS, which may be the useful indicators for the management of PCOS.

The Influencing Factors and Assessment Rule of Fatigue Life of Shaft Based on Product Lifecycle Management

2007 ◽  
Vol 561-565 ◽  
pp. 2253-2256 ◽  
Author(s):  
You Tang Li ◽  
Ping Ma ◽  
Jun Tian Zhao
Keyword(s):  
Fatigue Life ◽  
Influencing Factors ◽  
Axial Stress ◽  
Assessment Method ◽  
Product Lifecycle Management ◽  
Product Lifecycle ◽  
Fatigue Design ◽  
Main Factors ◽  
Set Up ◽  
Lifecycle Management

Product lifecycle management is one of the main developmental aspects of advanced manufacturing technology. Anti-fatigue design is the key content in product lifecycle management. For designing the fatigue life of shaft exactly and determining the assessment method, the influencing factors must be realized roundly. The mechanical model of shaft is set up at first, and then the main factors that affect the fatigue life of shaft is discussed, the interrelations of the main factors and the framework are founded. The assessment equation of fatigue life for shaft is put forward and the influencing coefficient of multi-axial stress to fatigue life is analyzed. The results of this paper will establish the base of anti-fatigue and assessment life of shaft.

Consumer lifestyles and online shopping continuance intention

2010 ◽  
Vol 11 (4) ◽  
pp. 227-243 ◽  
Author(s):  
Norzieiriani Ahmad ◽  
Azizah Omar ◽  
T. Ramayah
Keyword(s):  
Online Shopping ◽  
Continuance Intention ◽  
Consumer Lifestyles

scholarly journals PENGARUH FAKTOR INTERNAL DAN EKSTERNAL TERHADAP SIKAP DAN NIAT PEMBELIAN DARING

2017 ◽  
Vol 19 (2) ◽  
pp. 192 ◽  
Author(s):  
Lorentia Shierly ◽  
Sabrina Sihombing
Keyword(s):  
Structural Equation Modeling ◽  
Structural Equation ◽  
Sampling Method ◽  
Online Shopping ◽  
Web Design ◽  
External Factors ◽  
Equation Modeling ◽  
Online Data ◽  
Internal Factors ◽  
Main Factors

Online shopping has grown popularity over the years because of its convenient and can often save money for buyers. There are two main factors that can affect a person to do shopping online: internal factors and external factors. Previous research often focuses on one factor only, that is, internal or external factors in influencing online shopping. Therefore, this research attempts to integrate both internal (i.e., personal innovation and hedonic motivation) and external factors (i.e., web design and eWOM) in predicting attitude and intention to buy online. Data was collected by using questionnaires with non-probability sampling method. The number of respondents was 228 respondents. Data was then analyzed by Structural Equation Modeling (SEM). Results showed that four out of five hypotheses are supported. Specifically, the results showed that personal innovation is not a significant predictor of attitude toward online shopping. This study also provides research limitations and suggestions for further research.

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